Evaluating Cultural Heritage Vulnerability and Flood Exposure in the Vesdre Valley, Belgium: A Dataset from the 2021 Flood Event

Published: 31 July 2024| Version 1 | DOI: 10.17632/dm7h8d7jcx.1
Contributor:
Manal Ginzarly

Description

This dataset provides comprehensive data on cultural heritage (CH) vulnerability and flood risk analysis for the Vesdre Valley in Belgium. The study area covers approximately 700 km², with the River Vesdre flowing 70 km through the region. The dataset includes information on the impacts of the July 2021 flood event, specifically the low-pressure system ‘Bernd,’ which caused severe flooding in several European regions, including the Vesdre Valley. Data Sources: • Spatial Data: Official flood hazard map updated on 7 July 2022, based on field surveys, drone imagery, and spatial interpolation. Data available from the Wallonia geoportal WalOnMap and the local statistical information portal WalStat. • Statistical Units: The dataset is organized by 531 statistical units, with varying sizes from 4 to 5851 ha. Key statistics include the number of households and areas affected by the flood. Data Processing and Analysis: • Software Used: QGIS for data processing and visualization, RStudio for statistical analysis. • Analytical Framework: Includes CH concentration mapping, vulnerability classification using principal component analysis (PCA), socio-economic disparity assessment, and household exposure analysis. • Metrics Calculated: Gross and net concentration of CH assets, area-based vulnerability, socio-economic deprivation index, and comparative environmental risk index (CERI). Methodology: 1. Gross and Net Concentration: Calculation of CH concentration by statistical unit, considering both point data (designated heritage) and area-based data (heritage sites). 2. Vulnerability Analysis: Assessment of CH and area-based vulnerabilities using spatial and statistical methods. 3. Socio-economic Disparity: Analysis based on 23 indicators of socio-economic status. 4. Exposure to Flooding: Calculation of household exposure and correlation with CH vulnerability. 5. Comparative Environmental Risk Index: Analysis of the relationship between socio-economic deprivation, CH vulnerability, and flood exposure. Results: • Concentration of CH: Spatial distribution of built and natural heritage assets in the Vesdre Valley, highlighting areas with high concentration and vulnerability. • Flood Impact: Analysis of flood effects on CH assets and socio-economically deprived populations, with a focus on areas requiring targeted interventions. • Multidimensional Vulnerability: Integration of CH vulnerability, area-based vulnerability, and socio-economic deprivation to identify high-risk zones. Contact Information: For any queries regarding the dataset, please contact: GINZARLY Manal University of Liège Manal.Ginzarly@uliege.be ORCID iD 0000-0003-3693-9258

Files

Steps to reproduce

Data Acquisition Data Sources • Download Data: Obtain the dataset from Wallonia geoportal WalOnMap and the local statistical information portal on Wallonia WalStat. • Thematic Indicators and Data Types • Cultural Heritage o Designated Buildings: Point-based spatial data representing specific buildings designated as heritage sites. o Listed Buildings: Point-based spatial data for buildings that are officially listed as heritage sites. o Buildings Dating from Before 1950: Area-based spatial data indicating the presence of buildings constructed before 1950. o Heritage Sites: Area-based spatial data for sites recognized for their heritage significance. • Natural Heritage o Natural Heritage: Area-based spatial data for areas designated as natural heritage sites. • Flooded Area: Area-based spatial data showing areas impacted by flooding • Vulnerability Indicators o Buildings: Area-based spatial data indicating buildings affected by flooding. o Commerce: Point-based spatial data for commercial establishments impacted by the flood. o Critical Services: Point-based spatial data for essential services (e.g., hospitals, schools) affected by the flood. • Socio-economic Deprivation Indicators o Origin and Nationality: Area-based spatial data reflecting the demographic composition regarding origin and nationality. o Taxable Income Level: Area-based spatial data showing income levels within different regions. o Unemployment and Participation Rate: Area-based spatial data related to unemployment rates and labor force participation. o Households with Social Security Income: Area-based spatial data showing households receiving social security income. • Households Exposure Indicators Flooded Households: Spatial data indicating households affected by flooding. File Formats File Formats: GIS datasets are provided in .shp format. CSV files are provided in .csv format. Excel sheets are provided in .xlsx format. • Shapefiles: Include spatial data for point-based and area-based indicators. • CSV: Comprises attribute data related to socio-economic factors and point-based and area-based indicators.

Institutions

Universite de Liege

Categories

Cultural Heritage, Big Data, Quantitative Technique, Urban Vulnerability to Climate Hazard, Geographical Information Science, Flood, Built Environment

Funding

European Commission

101106194

Licence